Detection and classification of subject-generated artifacts in EEG signals using autoregressive models

Journal of Neuroscience Methods

Volumn 208, Issue 2, 2012, Pages 181-189

  Lawhern, Vernon ^a   Hairston, W David ^b   McDowell, Kaleb ^b   Westerfield, Marissa ^c   Robbins, Kay ^a  

^a UNIVERSITY OF TEXAS AT SAN ANTONIO   (United States)

^b U S ARMY RESEARCH LABORATORY   (United States)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Artifacts; Autoregressive model; Electroencephalography; Support vector machines

Indexed keywords

ACCURACY; ARTICLE; ARTIFACT; AUTOREGRESSIVE MODEL; ELECTROENCEPHALOGRAM; EYELID REFLEX; HEAD MOVEMENT; JAW MOVEMENT; MATHEMATICAL MODEL; MODEL; MUSCLE CONTRACTION; PRIORITY JOURNAL; RELIABILITY; SACCADIC EYE MOVEMENT; SIGNAL PROCESSING; SUPPORT VECTOR MACHINE;

ARTIFACTS; BLINKING; BRAIN; ELECTROENCEPHALOGRAPHY; HUMANS; JAW; MODELS, NEUROLOGICAL; REPRODUCIBILITY OF RESULTS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SUPPORT VECTOR MACHINES;

EID: 84862114927     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2012.05.017     Document Type: Article

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